Call Insights and Sentiment Analysis for Sales Teams
Understand what's happening across every sales call. Track sentiment trends, topic frequency, talk ratios, and deal risk signals — so managers can coach smarter and reps can close faster.
SOC 2 Type II Built for US Companies Sentiment analysis Deal risk signals Team-level analytics
How It Works
Get started in three simple steps
1
Analyze
Every call is analyzed for sentiment, topic mentions, talk ratio, and behavioral signals. The AI extracts signals that indicate deal health and risk.
2
Visualize
Sentiment trends, topic frequencies, and talk-to-listen ratios are visualized in dashboards so you can spot patterns across your entire team.
3
Act
Use insights to coach reps on talk ratio, identify at-risk deals from negative sentiment, and refine your sales methodology based on what's working.
Key Features
Call sentiment analysis — positive, neutral, negative
Topic and keyword tracking across calls
Talk-to-listen ratio monitoring per rep
Call outcome prediction based on conversation signals
Deal risk signals detected from call data
Team and rep-level call analytics dashboard
Sentiment trends over time
Competitive intelligence extraction from calls
Objection frequency tracking by type
Talk track effectiveness scoring
Use Cases
Coaching Based on Real Data
Instead of guessing which reps need coaching, use call analytics to identify specific gaps. See which reps have high talk ratios, low engagement, or miss objections.
What teams care about
- Fast adoption with less manual cleanup for managers and reps.
- Clear visibility into workflow execution, outcomes, and accountability.
- Reliable handoffs into the CRM record so downstream teams keep full context.
Deep dive
Open the sections that matter most instead of scrolling through a long uninterrupted text block.
Managers spend hours in one-on-ones trying to coach reps on vague gut feelings. 'You need to listen more,' or 'You're not handling objections well.' But without data, coaching is guesswork.
Call insights provide concrete data. Managers can show a rep exactly how much they talked versus listened in their last 10 calls. They can show sentiment trends and where deals are at risk. That turns coaching into a data-driven conversation.
Buyer playbook
Compare, launch, and govern the workflow with an interactive overview instead of four long generic essays.
How teams evaluate call insights
The best pages help buyers understand fit quickly instead of forcing them through long walls of copy.
Check whether the product covers the capabilities you actually care about, such as Call sentiment analysis — positive, neutral, negative, Topic and keyword tracking across calls, Talk-to-listen ratio monitoring per rep, Call outcome prediction based on conversation signals.
Test if it supports real execution scenarios like Coaching Based on Real Data, Early Deal Risk Detection, Sales Methodology Refinement.
Confirm the workflow stays connected to Twilio, Google Meet, Zoom so reporting and handoffs remain reliable.